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09/19/2023
Forgedit: Text Guided Image Editing via Learning and Forgetting
Text guided image editing on real images given only the image and the ta...
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05/06/2023
Mixer: Image to Multi-Modal Retrieval Learning for Industrial Application
Cross-modal retrieval, where the query is an image and the doc is an ite...
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05/06/2023
Cross-domain Augmentation Networks for Click-Through Rate Prediction
Data sparsity is an important issue for click-through rate (CTR) predict...
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09/28/2022
Dynamic MDETR: A Dynamic Multimodal Transformer Decoder for Visual Grounding
Multimodal transformer exhibits high capacity and flexibility to align i...
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05/26/2022
Cross-Architecture Self-supervised Video Representation Learning
In this paper, we present a new cross-architecture contrastive learning ...
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12/02/2021
InsCLR: Improving Instance Retrieval with Self-Supervision
This work aims at improving instance retrieval with self-supervision. We...
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09/23/2021
End-to-End Dense Video Grounding via Parallel Regression
Video grounding aims to localize the corresponding video moment in an un...
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08/17/2021
TOOD: Task-aligned One-stage Object Detection
One-stage object detection is commonly implemented by optimizing two sub...
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08/17/2021
Exploring Classification Equilibrium in Long-Tailed Object Detection
The conventional detectors tend to make imbalanced classification and su...
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07/09/2021
Mutually-aware Sub-Graphs Differentiable Architecture Search
Differentiable architecture search is prevalent in the field of NAS beca...
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03/25/2021
Rethinking Deep Contrastive Learning with Embedding Memory
Pair-wise loss functions have been extensively studied and shown to cont...
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03/22/2021
Brain Image Synthesis with Unsupervised Multivariate Canonical CSCâ„“_4Net
Recent advances in neuroscience have highlighted the effectiveness of mu...
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01/11/2021
Unchain the Search Space with Hierarchical Differentiable Architecture Search
Differentiable architecture search (DAS) has made great progress in sear...
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07/23/2020
Representation Sharing for Fast Object Detector Search and Beyond
Region Proposal Network (RPN) provides strong support for handling the s...
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04/14/2020
Deformable Siamese Attention Networks for Visual Object Tracking
Siamese-based trackers have achieved excellent performance on visual obj...
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03/11/2020
Channel Interaction Networks for Fine-Grained Image Categorization
Fine-grained image categorization is challenging due to the subtle inter...
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03/09/2020
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection
Training an object detector on a data-rich domain and applying it to a d...
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02/18/2020
Knowledge Integration Networks for Action Recognition
In this work, we propose Knowledge Integration Networks (referred as KIN...
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02/18/2020
V4D:4D Convolutional Neural Networks for Video-level Representation Learning
Most existing 3D CNNs for video representation learning are clip-based m...
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12/14/2019
Cross-Batch Memory for Embedding Learning
Mining informative negative instances are of central importance to deep ...
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10/17/2019
Convolutional Character Networks
Recent progress has been made on developing a unified framework for join...
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10/07/2019
Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation
Weakly-supervised instance segmentation aims to detect and segment objec...
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09/26/2019
Dual-Stream Pyramid Registration Network
We propose a Dual-Stream Pyramid Registration Network (referred as Dual-...
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06/13/2019
The iMaterialist Fashion Attribute Dataset
Large-scale image databases such as ImageNet have significantly advanced...
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02/04/2019
Compatible and Diverse Fashion Image Inpainting
Visual compatibility is critical for fashion analysis, yet is missing in...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/16/2018
Deep Metric Learning with Hierarchical Triplet Loss
We present a novel hierarchical triplet loss (HTL) capable of automatica...
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08/03/2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
We present a simple yet efficient approach capable of training deep neur...
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03/09/2018
Single Shot TextSpotter with Explicit Alignment and Attention
Text detection and recognition in natural images have long been consider...
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07/03/2017
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video
We present an automatic method to describe clinically useful information...
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10/04/2016
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Convolutional Neural Networks (CNNs) have made remarkable progress on sc...
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09/12/2016
Detecting Text in Natural Image with Connectionist Text Proposal Network
We propose a novel Connectionist Text Proposal Network (CTPN) that accur...
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03/31/2016
Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
We introduce a new top-down pipeline for scene text detection. We propos...
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01/27/2016
Locally-Supervised Deep Hybrid Model for Scene Recognition
Convolutional neural networks (CNN) have recently achieved remarkable su...
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10/12/2015
Text-Attentional Convolutional Neural Networks for Scene Text Detection
Recent deep learning models have demonstrated strong capabilities for cl...
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08/03/2015
Local Color Contrastive Descriptor for Image Classification
Image representation and classification are two fundamental tasks toward...
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06/14/2015
Reading Scene Text in Deep Convolutional Sequences
We develop a Deep-Text Recurrent Network (DTRN) that regards scene text ...
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06/01/2015