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/xiuyu0000/new_papers_codes/tree/main/Pix2PixHD
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/xiuyu0000/new_papers_codes/tree/main/m2det
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
https://github.com/xiuyu0000/new_papers_codes/tree/main/rbpn
https://github.com/xiuyu0000/new_papers_codes/tree/main/tracktor%2B%2B
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/xiuyu0000/papers_with_examples/tree/main/case_10_ssd300_mobilenetv2_voc2012_detection
https://github.com/xiuyu0000/papers_with_examples/tree/main/detr/
https://github.com/xiuyu0000/papers_with_examples/tree/main/maskrcnn
https://github.com/xiuyu0000/tutorials/tree/main/yolov4
https://github.com/xiuyu0000/vision/blob/main/mindvision/msdetection/models/ssd.py
https://github.com/xjnpark/ds
https://github.com/xuanloct4/darknet
https://github.com/xuannianz/EfficientDet
https://github.com/xuannianz/FSAF
https://github.com/xuannianz/SAPD
https://github.com/xuannianz/keras-CenterNet
https://github.com/xuannianz/keras-fcos
https://github.com/xuantruongdang/module-yolo
https://github.com/xuanyuzhou98/SqueezeSeg
https://github.com/xuebinqin/BASNet
Boundary-Aware Segmentation Network for Mobile and Web Applications
https://github.com/xueliancheng/slt-net
Implicit Motion Handling for Video Camouflaged Object Detection
https://github.com/xunhen/py-faster-rcnn-wjc
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/xurui1217/pointnet2-master
https://github.com/xw-hu/SAC-Net
SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection
https://github.com/xyfer17/ssd-caffe
https://github.com/xyjbaal/FPCC
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking
https://github.com/xytpai/DetX-FCOS
https://github.com/xytpai/fcos
https://github.com/xytpai/retinanet
https://github.com/xyuan-wyze/darknet
https://github.com/xzabg/fast-adversarial
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
https://github.com/xzabg/faster-rcnn-with-Caltech
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/xzgz/caffe-ssd
https://github.com/xzgz/faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/y2kmz/pointnetv2
https://github.com/y2l/meta-transfer-learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.