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08/14/2023
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation
Modern supervised semantic segmentation methods are usually finetuned ba...
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08/04/2023
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo
Compared to the multi-stage self-supervised multi-view stereo (MVS) meth...
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08/03/2023
RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension
In this work, we investigate extending the comprehension of Multi-modal ...
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07/27/2023
Improved Neural Radiance Fields Using Pseudo-depth and Fusion
Since the advent of Neural Radiance Fields, novel view synthesis has rec...
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03/01/2023
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers
Despite the promising results, existing oriented object detection method...
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02/28/2023
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
Modern incremental learning for semantic segmentation methods usually le...
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02/27/2023
LMSeg: Language-guided Multi-dataset Segmentation
It's a meaningful and attractive topic to build a general and inclusive ...
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09/07/2022
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
Recent masked image modeling (MIM) has received much attention in self-s...
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05/28/2022
Point RCNN: An Angle-Free Framework for Rotated Object Detection
Rotated object detection in aerial images is still challenging due to ar...
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03/21/2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
Supervised learning based object detection frameworks demand plenty of l...
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01/28/2021
Object Detection Made Simpler by Eliminating Heuristic NMS
We show a simple NMS-free, end-to-end object detection framework, of whi...
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07/17/2020
Learning to Match Distributions for Domain Adaptation
When the training and test data are from different distributions, domain...
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09/18/2019
Transfer Learning with Dynamic Adversarial Adaptation Network
The recent advances in deep transfer learning reveal that adversarial le...
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07/22/2019
