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/alexismailov2/darknet
https://github.com/alexshuang/TGS_Salt
Hypercolumns for Object Segmentation and Fine-grained Localization
https://github.com/alia21/VechicleDetection-and-Traccking
https://github.com/aliayub7/cbcl-pr
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
https://github.com/alibaba/EasyCV
https://github.com/alililia/ascend_maskrcnn_mobilenetv1
https://github.com/alililia/gpu_maskrcnn_mobilenetv1
https://github.com/aljosaosep/kitti-track-collection
Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video
https://github.com/allanzelener/YAD2K
https://github.com/alldbi/Factorized-Spatial-Embeddings
Unsupervised learning of object landmarks by factorized spatial embeddings
https://github.com/allenai/ai2thor-rearrangement
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors
https://github.com/allenai/manipulathor
https://github.com/allenai/object-edit
https://github.com/alpemek/ais3d
https://github.com/altmann144/ipoke-main-opticalflow
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
https://github.com/altomator/Introduction_to_Deep_Learning-2-Face_Detection
https://github.com/alvinwan/shiftresnet-cifar
https://github.com/alzayats/CountSeg-1
Object Counting and Instance Segmentation with Image-level Supervision
https://github.com/alzmzyy/pointtransformer
https://github.com/amazingcodeLYL/Traffic_signs_detection_darket
https://github.com/amazon-science/bigdetection
A Simple Semi-Supervised Learning Framework for Object Detection
https://github.com/amazon-science/object-centric-learning-framework
https://github.com/amdegroot/ssd.pytorch
https://github.com/amemetov/ssd
https://github.com/aminekha/AI-For-2022
https://github.com/amirmohammadii/SSD-object-detection
https://github.com/amittiwary42/target-detection-eeg-signals
https://github.com/ammirato/target_driven_instance_detection
https://github.com/amobiny/Recurrent_Attention_Model
https://github.com/amritasaha1812/pytorch-faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/anahitafarhang/object-centric-process-cube
https://github.com/ananyahjha93/swav
https://github.com/andohuman/RebarCounting
Where are the Blobs: Counting by Localization with Point Supervision
https://github.com/angelvillar96/PlaySlot
https://github.com/angelvillar96/TextOCVP
Object-Centric Image to Video Generation with Language Guidance
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.