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CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Convolutional neural networks (CNNs) have been the de facto standard for...
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Instance and Panoptic Segmentation Using Conditional Convolutions
We propose a simple yet effective framework for instance and panoptic se...
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Object Detection Made Simpler by Eliminating Heuristic NMS
We show a simple NMS-free, end-to-end object detection framework, of whi...
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Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
The control of traffic signals is fundamental and critical to alleviate ...
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ABS: Automatic Bit Sharing for Model Compression
We present Automatic Bit Sharing (ABS) to automatically search for optim...
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Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
Recently, much attention has been spent on neural architecture search (N...
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Diverse Knowledge Distillation for End-to-End Person Search
Person search aims to localize and identify a specific person from a gal...
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Learning to Recover 3D Scene Shape from a Single Image
Despite significant progress in monocular depth estimation in the wild, ...
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Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
Recently, hyperspectral image (HSI) classification approaches based on d...
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BoxInst: High-Performance Instance Segmentation with Box Annotations
We present a high-performance method that can achieve mask-level instanc...
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End-to-End Video Instance Segmentation with Transformers
Video instance segmentation (VIS) is the task that requires simultaneous...
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Learning Affinity-Aware Upsampling for Deep Image Matting
We show that learning affinity in upsampling provides an effective and e...
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Fully Quantized Image Super-Resolution Networks
With the rising popularity of intelligent mobile devices, it is of great...
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DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution
Previous top-performing approaches for point cloud instance segmentation...
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PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
It has been widely recognized that the success of deep learning in image...
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Graph Attention Tracking
Siamese network based trackers formulate the visual tracking task as a s...
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Robust Watermarking Using Inverse Gradient Attention
Watermarking is the procedure of encoding desired information into an im...
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DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Due to the intensive cost of labor and expertise in annotating 3D medica...
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Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions
Recently, fully-convolutional one-stage networks have shown superior per...
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Dense Contrastive Learning for Self-Supervised Visual Pre-Training
To date, most existing self-supervised learning methods are designed and...
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Deep Reinforcement Learning for Unknown Anomaly Detection
We address a critical yet largely unsolved anomaly detection problem, in...
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Representative Graph Neural Network
Non-local operation is widely explored to model the long-range dependenc...
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FATNN: Fast and Accurate Ternary Neural Networks
Ternary Neural Networks (TNNs) have received much attention due to being...
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Pairwise Relation Learning for Semi-supervised Gland Segmentation
Accurate and automated gland segmentation on histology tissue images is ...
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AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
Scene text spotting aims to detect and recognize the entire word or sent...
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Improving Generative Adversarial Networks with Local Coordinate Coding
Generative adversarial networks (GANs) have shown remarkable success in ...
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Soft Expert Reward Learning for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) requires an agent to find a specifi...
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Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
We formulate counting as a sequential decision problem and present a nov...
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AQD: Towards Accurate Quantized Object Detection
Network quantization aims to lower the bitwidth of weights and activatio...
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Deep Learning for Anomaly Detection: A Review
Anomaly detection, a.k.a. outlier detection, has been a lasting yet acti...
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FCOS: A simple and strong anchor-free object detector
In computer vision, object detection is one of most important tasks, whi...
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A Robust Attentional Framework for License Plate Recognition in the Wild
Recognizing car license plates in natural scene images is an important y...
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Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue
Single-view depth estimation using CNNs trained from unlabelled videos h...
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Scope Head for Accurate Localizationin Object Detection
Existing anchor-based and anchor-free object detectors in multi-stage or...
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Scope Head for Accurate Localization in Object Detection
Existing anchor-based and anchor-free object detectors in multi-stage or...
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Scene Text Image Super-Resolution in the Wild
Low-resolution text images are often seen in natural scenes such as docu...
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BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
The low-level details and high-level semantics are both essential to the...
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Context Prior for Scene Segmentation
Recent works have widely explored the contextual dependencies to achieve...
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Segmenting Transparent Objects in the Wild
Transparent objects such as windows and bottles made by glass widely exi...
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COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection
Coronaviruses are important human and animal pathogens. To date the nove...
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Mask Encoding for Single Shot Instance Segmentation
To date, instance segmentation is dominated by twostage methods, as pion...
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SOLOv2: Dynamic, Faster and Stronger
In this work, we aim at building a simple, direct, and fast instance seg...
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Real-time Image Smoothing via Iterative Least Squares
Edge-preserving image smoothing is a fundamental procedure for many comp...
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Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
Video anomaly detection is of critical practical importance to a variety...
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DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers
In this paper, we address the few-shot classification task from a new pe...
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Conditional Convolutions for Instance Segmentation
We propose a simple yet effective instance segmentation framework, terme...
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Efficient Semantic Video Segmentation with Per-frame Inference
In semantic segmentation, most existing real-time deep models trained wi...
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On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
Visual Question Answering (VQA) methods have made incredible progress, b...
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ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Scene text detection and recognition has received increasing research at...
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Joint Deep Learning of Facial Expression Synthesis and Recognition
Recently, deep learning based facial expression recognition (FER) method...
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