research
∙
08/14/2023
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation
Modern supervised semantic segmentation methods are usually finetuned ba...
share
research
∙
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...
research
∙
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 ...
research
∙
07/27/2023
Improved Neural Radiance Fields Using Pseudo-depth and Fusion
Since the advent of Neural Radiance Fields, novel view synthesis has rec...
research
∙
03/01/2023
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers
Despite the promising results, existing oriented object detection method...
research
∙
02/28/2023
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
Modern incremental learning for semantic segmentation methods usually le...
research
∙
02/27/2023
LMSeg: Language-guided Multi-dataset Segmentation
It's a meaningful and attractive topic to build a general and inclusive ...
research
∙
09/07/2022
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
Recent masked image modeling (MIM) has received much attention in self-s...
research
∙
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...
research
∙
03/21/2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
Supervised learning based object detection frameworks demand plenty of l...
research
∙
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...
research
∙
07/17/2020
Learning to Match Distributions for Domain Adaptation
When the training and test data are from different distributions, domain...
research
∙
09/18/2019
Transfer Learning with Dynamic Adversarial Adaptation Network
The recent advances in deep transfer learning reveal that adversarial le...
research
∙
07/22/2019