Papers with Code 아카이브
Object
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/min2209/dwt
https://github.com/mindspore-ai/models/blob/master/official/cv/retinanet/
https://github.com/mindspore-ai/models/blob/master/research/cv/retinanet_resnet152
https://github.com/mindspore-ai/models/tree/master/official/cv/faster_rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/mindspore-ai/models/tree/master/official/cv/maskrcnn
https://github.com/mindspore-ai/models/tree/master/official/cv/ssd
https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4
https://github.com/mindspore-ai/models/tree/master/research/cv/EfficientDet_d0
https://github.com/mindspore-ai/models/tree/master/research/cv/OCRNet
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
https://github.com/mindspore-ai/models/tree/master/research/cv/RefineDet
https://github.com/mindspore-ai/models/tree/master/research/cv/STGAN
https://github.com/mindspore-ai/models/tree/master/research/cv/centernet_resnet50_v1
https://github.com/mindspore-ai/models/tree/master/research/cv/fairmot
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
https://github.com/mindspore-ai/models/tree/master/research/cv/faster_rcnn_dcn
https://github.com/mindspore-ai/models/tree/master/research/cv/nas-fpn
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
https://github.com/mindspore-ai/models/tree/master/research/cv/ssd_resnet50
https://github.com/ming71/UCAS-AOD-benchmark
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
https://github.com/mingyuliutw/UNIT
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/minhcong0891/wheat-detection
https://github.com/minhdua/PHONES
https://github.com/minhhuu291/Logo-Recognition
https://github.com/minimaxir/person-blocker
https://github.com/minus31/BlazeFace
https://github.com/miriambellver/refvos
SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation
https://github.com/mirzaevinom/data_science_bowl_2018
https://github.com/mit-quest/bridge_gandissect
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
https://github.com/mit-spark/pace
Optimal Pose and Shape Estimation for Category-level 3D Object Perception
https://github.com/miteshksingh/SimplifiedYOLO
https://github.com/mjseong0414/TANet
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
https://github.com/mkang315/rcs-yolo
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
https://github.com/mkartikkumar/re3-tensorflow
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
https://github.com/mkhalil1998/EC601_Group_Project
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/mkocabas/focal-loss-keras
https://github.com/ml-inory/Caffe
https://github.com/mlb2251/stitch
Identifying concept libraries from language about object structure
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.