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08/18/2023
Diverse Cotraining Makes Strong Semi-Supervised Segmentor
Deep co-training has been introduced to semi-supervised segmentation and...
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08/03/2023
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation
We generalize the class vectors found in neural networks to linear subsp...
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06/15/2023
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
Out-of-Distribution (OOD) detection is critical for the reliable operati...
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03/15/2023
BiFormer: Vision Transformer with Bi-Level Routing Attention
As the core building block of vision transformers, attention is a powerf...
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10/13/2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Out-of-distribution (OOD) detection is vital to safety-critical machine ...
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09/04/2022
Consistent Teacher Provides Better Supervision in Semi-supervised Object Detection
In this study, we dive deep into the unique challenges in semi-supervise...
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08/21/2022
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
In this work, we revisit the weak-to-strong consistency framework, popul...
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07/22/2022
Panoptic Scene Graph Generation
Existing research addresses scene graph generation (SGG) – a critical te...
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03/21/2022
ViM: Out-Of-Distribution with Virtual-logit Matching
Most of the existing Out-Of-Distribution (OOD) detection algorithms depe...
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12/14/2021
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation (WSSS) segments objects without ...
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08/26/2021
Semantically Coherent Out-of-Distribution Detection
Current out-of-distribution (OOD) detection benchmarks are commonly buil...
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08/14/2021
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
We present MMOCR-an open-source toolbox which provides a comprehensive p...
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08/13/2021
Progressive Representative Labeling for Deep Semi-Supervised Learning
Deep semi-supervised learning (SSL) has experienced significant attentio...
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08/03/2021
Vision Transformer with Progressive Sampling
Transformers with powerful global relation modeling abilities have been ...
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05/21/2021
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection
The performance of object detection, to a great extent, depends on the a...
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04/21/2021
Fourier Contour Embedding for Arbitrary-Shaped Text Detection
One of the main challenges for arbitrary-shaped text detection is to des...
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03/26/2021
Spatial Dual-Modality Graph Reasoning for Key Information Extraction
Key information extraction from document images is of paramount importan...
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10/12/2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Webly supervised learning becomes attractive recently for its efficiency...
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08/27/2020
Webly Supervised Image Classification with Self-Contained Confidence
This paper focuses on webly supervised learning (WSL), where datasets ar...
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07/20/2020
Context-Aware RCNN: A Baseline for Action Detection in Videos
Video action detection approaches usually conduct actor-centric action r...
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07/15/2020
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
The attention-based encoder-decoder framework has recently achieved impr...
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07/09/2020
Maximum-and-Concatenation Networks
While successful in many fields, deep neural networks (DNNs) still suffe...
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05/06/2020
Scale-Equalizing Pyramid Convolution for Object Detection
Feature pyramid has been an efficient method to extract features at diff...
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02/04/2020
Object Instance Mining for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) using only image-level annotat...
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09/20/2019
Gradual Network for Single Image De-raining
Most advances in single image de-raining meet a key challenge, which is ...
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09/06/2019
Recovery of Future Data via Convolution Nuclear Norm Minimization
This paper is about recovering the unseen future data from a given seque...
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09/02/2019
Geometry Normalization Networks for Accurate Scene Text Detection
Large geometry (e.g., orientation) variances are the key challenges in t...
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08/30/2019
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
Matching clothing images from customers and online shopping stores has r...
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04/20/2019
