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08/20/2023
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection
Anomaly detection (AD), aiming to find samples that deviate from the tra...
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07/30/2023
Video Frame Interpolation with Flow Transformer
Video frame interpolation has been actively studied with the development...
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03/26/2023
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
Vision transformers have recently shown strong global context modeling c...
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10/29/2022
iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection
Small targets are often submerged in cluttered backgrounds of infrared i...
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08/22/2022
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation
Albeit with varying degrees of progress in the field of Semi-Supervised ...
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08/12/2022
Motion Sensitive Contrastive Learning for Self-supervised Video Representation
Contrastive learning has shown great potential in video representation l...
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07/20/2022
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Video Anomaly Detection (VAD) is an important topic in computer vision. ...
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07/11/2022
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild
Sketch-based 3D shape retrieval (SBSR) is an important yet challenging t...
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05/30/2022
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
In this paper, we present a novel end-to-end group collaborative learnin...
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12/21/2021
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) in untrimmed video...
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12/16/2021
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
Image-level weakly supervised semantic segmentation (WSSS) is a fundamen...
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12/05/2021
Global-Local Context Network for Person Search
Person search aims to jointly localize and identify a query person from ...
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11/29/2021
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification
Domain generalizable person re-identification aims to apply a trained mo...
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09/01/2021
Efficient Person Search: An Anchor-Free Approach
Person search aims to simultaneously localize and identify a query perso...
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08/26/2021
Identity-aware Graph Memory Network for Action Detection
Action detection plays an important role in high-level video understandi...
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06/19/2021
Exploring Visual Context for Weakly Supervised Person Search
Person search has recently emerged as a challenging task that jointly ad...
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06/03/2021
You Never Cluster Alone
Recent advances in self-supervised learning with instance-level contrast...
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04/29/2021
Learning Multi-Attention Context Graph for Group-Based Re-Identification
Learning to re-identify or retrieve a group of people across non-overlap...
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03/22/2021
Anchor-Free Person Search
Person search aims to simultaneously localize and identify a query perso...
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03/01/2021
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Accurately describing and detecting 2D and 3D keypoints is crucial to es...
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02/17/2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Previous studies dominantly target at self-supervised learning on real-v...
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02/08/2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
The goal of few-shot learning is to learn a classifier that can recogniz...
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12/21/2020
ResizeMix: Mixing Data with Preserved Object Information and True Labels
Data augmentation is a powerful technique to increase the diversity of d...
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10/07/2020
Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement
Image contour based vision measurement is widely applied in robot manipu...
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09/27/2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Normalization techniques are essential for accelerating the training and...
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07/09/2020
Invertible Zero-Shot Recognition Flows
Deep generative models have been successfully applied to Zero-Shot Learn...
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02/27/2020
Auto-Encoding Twin-Bottleneck Hashing
Conventional unsupervised hashing methods usually take advantage of simi...
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02/25/2020
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis
Conditioning analysis uncovers the landscape of optimization objective b...
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01/23/2020
Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network
Removing the rain streaks from single image is still a challenging task,...
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01/23/2020
Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition
Deep Convolutional Neural Networks (CNNs), such as Dense Convolutional N...
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12/13/2019
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition
The Deep Convolutional Neural Networks (CNNs) have obtained a great succ...
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08/26/2019
Embarrassingly Simple Binary Representation Learning
Recent binary representation learning models usually require sophisticat...
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05/27/2019
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier
In this paper, we propose an analysis mechanism based structured Analysi...
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05/25/2019
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
We propose a novel structured discriminative block-diagonal dictionary l...
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09/17/2018
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering
How to economically cluster large-scale multi-view images is a long-stan...
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03/29/2018
