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09/15/2021
RGB-D Saliency Detection via Cascaded Mutual Information Minimization
Existing RGB-D saliency detection models do not explicitly encourage RGB...
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08/28/2021
AP-10K: A Benchmark for Animal Pose Estimation in the Wild
Accurate animal pose estimation is an essential step towards understandi...
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08/28/2021
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images
Road segmentation from remote sensing images is a challenging task with ...
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08/20/2021
Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization
Warping-based video stabilizers smooth camera trajectory by constraining...
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08/17/2021
GCCAD: Graph Contrastive Coding for Anomaly Detection
Graph-based anomaly detection has been widely used for detecting malicio...
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08/13/2021
Bi-Temporal Semantic Reasoning for the Semantic Change Detection of HR Remote Sensing Images
Semantic change detection (SCD) extends the change detection (CD) task t...
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08/12/2021
Learning Visual Affordance Grounding from Demonstration Videos
Visual affordance grounding aims to segment all possible interaction reg...
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08/08/2021
One-Shot Object Affordance Detection in the Wild
Affordance detection refers to identifying the potential action possibil...
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08/03/2021
I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection
Existing methods for arbitrary-shaped text detection in natural scenes f...
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07/27/2021
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
Detection transformers have recently shown promising object detection re...
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07/20/2021
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation (UDA) for semantic segmentation aims to a...
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07/15/2021
Deep Automatic Natural Image Matting
Automatic image matting (AIM) refers to estimating the soft foreground f...
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07/12/2021
Automated Mobile App Test Script Intent Generation via Image and Code Understanding
Testing is the most direct and effective technique to ensure software qu...
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06/29/2021
Looking Outside the Window: Wider-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
Long-range context information is crucial for the semantic segmentation ...
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06/28/2021
One-Shot Affordance Detection
Affordance detection refers to identifying the potential action possibil...
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06/27/2021
Few-Shot Domain Expansion for Face Anti-Spoofing
Face anti-spoofing (FAS) is an indispensable and widely used module in f...
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06/25/2021
Energy-Based Generative Cooperative Saliency Prediction
Conventional saliency prediction models typically learn a deterministic ...
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06/24/2021
Depth-Guided Camouflaged Object Detection
Camouflaged object detection (COD) aims to segment camouflaged objects h...
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06/22/2021
Confidence-Aware Learning for Camouflaged Object Detection
Confidence-aware learning is proven as an effective solution to prevent ...
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06/16/2021
Invertible Attention
Attention has been proved to be an efficient mechanism to capture long-r...
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06/07/2021
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Transformers have shown great potential in various computer vision tasks...
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06/07/2021
A Comprehensive Survey on Image Dehazing Based on Deep Learning
The presence of haze significantly reduces the quality of images. Resear...
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05/24/2021
SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos
Salient human detection (SHD) in dynamic 360 immersive videos is of grea...
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05/07/2021
Salient Objects in Clutter
This paper identifies and addresses a serious design bias of existing sa...
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05/04/2021
End-to-end One-shot Human Parsing
Previous human parsing models are limited to parsing humans into pre-def...
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04/29/2021
Privacy-Preserving Portrait Matting
Recently, there has been an increasing concern about the privacy issue r...
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04/28/2021
A Survey on User-Centric Cell-Free Massive MIMO Systems
The mobile data traffic has been exponentially growing during the last d...
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04/20/2021
Transformer Transforms Salient Object Detection and Camouflaged Object Detection
The transformer networks, which originate from machine translation, are ...
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04/20/2021
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
Conversion Rate (CVR) prediction in modern industrial e-commerce platfor...
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04/15/2021
Learning structure-aware semantic segmentation with image-level supervision
Compared with expensive pixel-wise annotations, image-level labels make ...
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04/07/2021
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data
Electronic Health Record (EHR) data has been of tremendous utility in Ar...
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04/06/2021
Weakly Supervised Video Salient Object Detection
Significant performance improvement has been achieved for fully-supervis...
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03/26/2021
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
Domain adaptation aims to leverage a label-rich domain (the source domai...
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03/22/2021
Forest Fire Clustering: Cluster-oriented Label Propagation Clustering and Monte Carlo Verification Inspired by Forest Fire Dynamics
Clustering methods group data points together and assign them group-leve...
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03/06/2021
Simultaneously Localize, Segment and Rank the Camouflaged Objects
Camouflage is a key defence mechanism across species that is critical to...
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02/24/2021
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool t...
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02/16/2021
Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents
Planning future operational scenarios of bulk power systems that meet se...
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12/28/2020
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
The proliferation of massive open online courses (MOOCs) demands an effe...
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12/24/2020
Memory-Gated Recurrent Networks
The essence of multivariate sequential learning is all about how to extr...
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12/22/2020
Residual Matrix Product State for Machine Learning
Tensor network (TN), which originates from quantum physics, shows broad ...
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12/22/2020
Progressive One-shot Human Parsing
Prior human parsing models are limited to parsing humans into classes pr...
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12/15/2020
SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method
Recent years have witnessed the rapid growth of Small Private Online Cou...
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12/14/2020
COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking
Expert finding, a popular service provided by many online websites such ...
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12/13/2020
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
Cold-start problem is a fundamental challenge for recommendation tasks. ...
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12/10/2020
Uncertainty-Aware Deep Calibrated Salient Object Detection
Existing deep neural network based salient object detection (SOD) method...
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12/01/2020
3D Guided Weakly Supervised Semantic Segmentation
Pixel-wise clean annotation is necessary for fully-supervised semantic s...
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11/30/2020
SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses
Deep learning has demonstrated its power in image rectification by lever...
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11/30/2020
DUT: Learning Video Stabilization by Simply Watching Unstable Videos
We propose a Deep Unsupervised Trajectory-based stabilization framework ...
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11/30/2020
Inter-layer Transition in Neural Architecture Search
Differential Neural Architecture Search (NAS) methods represent the netw...
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11/17/2020
