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09/21/2023
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance
In this paper, we propose a novel cross-modal distillation method, calle...
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08/14/2023
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
Transformer-based visual trackers have demonstrated significant progress...
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08/02/2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
While language-guided image manipulation has made remarkable progress, t...
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05/11/2023
EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
Vision transformers have shown great success due to their high model cap...
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04/27/2023
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking
In this paper, we present a new sequence-to-sequence learning framework ...
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12/16/2022
Attentive Mask CLIP
Image token removal is an efficient augmentation strategy for reducing t...
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07/21/2022
TinyViT: Fast Pretraining Distillation for Small Vision Transformers
Vision transformer (ViT) recently has drawn great attention in computer ...
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06/09/2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
PointNet++ is one of the most influential neural architectures for point...
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04/14/2022
MiniViT: Compressing Vision Transformers with Weight Multiplexing
Vision Transformer (ViT) models have recently drawn much attention in co...
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11/29/2021
Searching the Search Space of Vision Transformer
Vision Transformer has shown great visual representation power in substa...
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08/28/2021
Learning to Track Objects from Unlabeled Videos
In this paper, we propose to learn an Unsupervised Single Object Tracker...
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07/29/2021
Rethinking and Improving Relative Position Encoding for Vision Transformer
Relative position encoding (RPE) is important for transformer to capture...
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07/01/2021
AutoFormer: Searching Transformers for Visual Recognition
Recently, pure transformer-based models have shown great potentials for ...
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06/25/2021
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training
Vision-Language Pre-training (VLP) aims to learn multi-modal representat...
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04/29/2021
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search
Object tracking has achieved significant progress over the past few year...
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04/01/2021
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
Despite remarkable progress achieved, most neural architecture search (N...
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03/31/2021
Learning Spatio-Temporal Transformer for Visual Tracking
In this paper, we present a new tracking architecture with an encoder-de...
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12/04/2020
Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language
We address the problem of retrieving a specific moment from an untrimmed...
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10/29/2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
One-shot weight sharing methods have recently drawn great attention in n...
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08/22/2020
Revisiting Anchor Mechanisms for Temporal Action Localization
Most of the current action localization methods follow an anchor-based p...
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08/06/2020
Towards Accurate Pixel-wise Object Tracking by Attention Retrieval
The encoding of the target in object tracking moves from the coarse boun...
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06/18/2020
Cyclic Differentiable Architecture Search
Recently, differentiable architecture search has draw great attention du...
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06/18/2020
Ocean: Object-aware Anchor-free Tracking
Anchor-based Siamese trackers have achieved remarkable advancements in a...
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12/08/2019
Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization
In this report, we introduce the Winner method for HACS Temporal Action ...
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12/08/2019