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08/31/2023
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation
In 3D Referring Expression Segmentation (3D-RES), the earlier approach a...
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05/24/2023
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Recently, growing interest has been aroused in extending the multimodal ...
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03/15/2023
Active Teacher for Semi-Supervised Object Detection
In this paper, we study teacher-student learning from the perspective of...
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02/22/2023
Towards End-to-end Semi-supervised Learning for One-stage Object Detection
Semi-supervised object detection (SSOD) is a research hot spot in comput...
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02/16/2023
Towards Efficient Visual Adaption via Structural Re-parameterization
Parameter-efficient transfer learning (PETL) is an emerging research spo...
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04/17/2022
What Goes beyond Multi-modal Fusion in One-stage Referring Expression Comprehension: An Empirical Study
Most of the existing work in one-stage referring expression comprehensio...
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04/16/2022
Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks
Despite the exciting performance, Transformer is criticized for its exce...
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03/30/2022
SeqTR: A Simple yet Universal Network for Visual Grounding
In this paper, we propose a simple yet universal network termed SeqTR fo...
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10/17/2021
Towards Language-guided Visual Recognition via Dynamic Convolutions
In this paper, we are committed to establishing an unified and end-to-en...
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12/13/2020
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network
Transformer-based architectures have shown great success in image captio...
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03/19/2020
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
Referring expression comprehension (REC) and segmentation (RES) are two ...
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12/07/2019