| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| 7 | 8 | 9 | 10 | 11 | 12 | 13 |
| 14 | 15 | 16 | 17 | 18 | 19 | 20 |
| 21 | 22 | 23 | 24 | 25 | 26 | 27 |
| 28 | 29 | 30 | 31 |
- 기계학습
- 원격 학습 안끊기게
- 이미지 필터링
- grefcoco
- blip-2
- 딥러닝 목적함수
- 에지 검출
- mobilenetv1
- grefcoco dataset
- gsoc
- res
- google summer of code
- Segmentation
- vlm
- object detection
- gsoc 후기
- clip adapter
- 논문 요약
- gsoc 2025
- reparameterization
- clip
- referring expression segmentation
- 엔트로피란
- gres
- 객체 검출
- 딥러닝 엔트로피
- Object detection article
- res paper
- 논문 리뷰
- 1차 미분 마스크
- Today
- Total
목록grefcoco dataset (2)
My Vision, Computer Vision
Bring Adaptive Binding Prototypes to Generalized Referring Expression SegmentationReferring Expression Segmentation (RES) has attracted rising attention, aiming to identify and segment objects based on natural language expressions. While substantial progress has been made in RES, the emergence of Generalized Referring Expression Segmentarxiv.orgAuthor : Li, Weize, et al.Journal : IEEE Transactio..
GRES: Generalized Referring Expression SegmentationReferring Expression Segmentation (RES) aims to generate a segmentation mask for the object described by a given language expression. Existing classic RES datasets and methods commonly support single-target expressions only, i.e., one expression refers toarxiv.orgAuthor : Liu, Chang, Henghui Ding, and Xudong Jiang.Journal : CVPR 2023Keyword : Re..