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07/21/2023
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?
This paper presents OxfordTVG-HIC (Humorous Image Captions), a large-sca...
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06/29/2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
This paper presents a new mechanism to facilitate the training of mask t...
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11/29/2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty
Modern deep networks can be better generalized when trained with noisy s...
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03/10/2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Large-scale pre-training has been proven to be crucial for various compu...
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12/16/2021
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation
Video Panoptic Segmentation (VPS) aims at assigning a class label to eac...
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11/18/2021
TransMix: Attend to Mix for Vision Transformers
Mixup-based augmentation has been found to be effective for generalizing...
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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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07/13/2021
Visual Parser: Representing Part-whole Hierarchies with Transformers
Human vision is able to capture the part-whole hierarchical information ...
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11/24/2020
Learning to Sample the Most Useful Training Patches from Images
Some image restoration tasks like demosaicing require difficult training...
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09/12/2020
Exploring the Hierarchy in Relation Labels for Scene Graph Generation
By assigning each relationship a single label, current approaches formul...
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09/09/2019
Robust Multi-Modality Multi-Object Tracking
Multi-sensor perception is crucial to ensure the reliability and accurac...
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06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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01/22/2019
Hybrid Task Cascade for Instance Segmentation
Cascade is a classic yet powerful architecture that has boosted performa...
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01/11/2019
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
The basic principles in designing convolutional neural network (CNN) str...
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11/29/2017
