dog-qiuqiu/FastestDet
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 30% compared with yolo-fastest, and the post-processing is simpler
Language: Python
#computer_vision #deep_learning #object_detection
Stars: 120 Issues: 4 Forks: 15
https://github.com/dog-qiuqiu/FastestDet
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 30% compared with yolo-fastest, and the post-processing is simpler
Language: Python
#computer_vision #deep_learning #object_detection
Stars: 120 Issues: 4 Forks: 15
https://github.com/dog-qiuqiu/FastestDet
GitHub
GitHub - dog-qiuqiu/FastestDet: :zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K…
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing...
OFA-Sys/Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Language: Python
#chinese #computer_vision #multi_modal_learning #nlp #pytorch #vision_and_language_pre_training
Stars: 80 Issues: 0 Forks: 7
https://github.com/OFA-Sys/Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Language: Python
#chinese #computer_vision #multi_modal_learning #nlp #pytorch #vision_and_language_pre_training
Stars: 80 Issues: 0 Forks: 7
https://github.com/OFA-Sys/Chinese-CLIP
GitHub
GitHub - OFA-Sys/Chinese-CLIP: Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation. - OFA-Sys/Chinese-CLIP