https://github.com/mlbio-epfl/turtle
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
Object Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 9
- 보존된 평가 기록
- 31
Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.
<span style="color:grey; opacity: 0.6">( Image credit: Tensorflow Object Detection API )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mlfoundations/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mlvccn/bmtc_transferattackvid
https://github.com/modelhub-ai/densenet
https://github.com/moein-shariatnia/OpenAI-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mohammadimathstar/grlgq
https://github.com/mrkolarik/3d-brain-segmentation
https://github.com/mrw-soumik/Tiny-Faces-in-Tensorflow
https://github.com/muditrastogi/chestai
https://github.com/mukul1093/Object-Recognition
https://github.com/muzairkhattak/multimodal-prompt-learning
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mv-lab/ViT-FGVC8
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
https://github.com/nahidalam/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/nalbert9/Image-Captioning
https://github.com/namratadeka/circe
https://github.com/nashawnch/Computer-Vision-FerrariDetective
https://github.com/nashawnch/ComputerVision-FerrariDetective
https://github.com/naver-ai/coco-annotation-tool
https://github.com/ncclab-sustech/eeg_image_decode
https://github.com/neuralet/facemask
https://github.com/neuroailab/LocalAggregation-Pytorch
Local Aggregation for Unsupervised Learning of Visual Embeddings
https://github.com/ngonthier/multiresolution_texture
https://github.com/nicaogr/multiresolution_texture
https://github.com/nightrome/cocostuff10k
https://github.com/nikolasmcneal/music-prediction
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
https://github.com/ninatu/mood_challenge
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/niranjana98/Image-Classification
https://github.com/noahfl/densenet-sdr
https://github.com/noahj08/DeepConnotation
https://github.com/nopperl/clip_arxiv_pmc
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/nzw0301/simclr
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/oci-ai/oci-dreamer
https://github.com/okason97/DenseNet-Tensorflow2
https://github.com/okason97/handshape-recognition
https://github.com/olivesgatech/cure-or
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
https://github.com/oliviawl/image_classification_utkface
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.