https://github.com/jessemelpolio/anytimecl
공식 코드Anytime Continual Learning for Open Vocabulary Classification
Papers with Code 아카이브
Open Vocabulary Image Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 4
- 보존된 평가 기록
- 10
Given an image and nothing else, i.e. no prompts or candidate labels, the task is to generate an accurate textual fine-grained classification label from the entire pool of simple and compound nouns in the English language.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jessemelpolio/treeprobe
공식 코드Continual Learning in Open-vocabulary Classification with Complementary Memory Systems
https://github.com/mendelxu/zsseg.baseline
공식 코드A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model
https://github.com/pallgeuer/novic
공식 코드https://github.com/pallgeuer/object_noun_dictionary
공식 코드https://github.com/tanganke/fusion_bench
공식 코드https://github.com/tensorflow/tpu
공식 코드Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
https://github.com/tensorflow/tpu/tree/master/models/official/detection/projects/vild
공식 코드Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
https://github.com/dyabel/detpro
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
https://github.com/hanoonaR/object-centric-ovd
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
https://github.com/openrobotlab/ov_parts
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.