Papers with Code 아카이브

Object Localization

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 5
평가표: 18
보존된 평가 기록: 51

Object Localization is the task of locating an instance of a particular object category in an image, typically by specifying a tightly cropped bounding box centered on the instance. An object proposal specifies a candidate bounding box, and an object proposal is said to be a correct localization if it sufficiently overlaps a human-labeled “ground-truth” bounding box for the given object. In the literature, the “Object Localization” task is to locate one instance of an object category, whereas “object detection” focuses on locating all instances of a category in a given image.

Source: Fast On-Line Kernel Density Estimation for Active Object Localization

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

Object Localization

코드

https://github.com/otoofim/ObjLocalisation

https://github.com/paradisetechsoftsolutions/Deep-learning-model-using-Mask-R-CNN-for-predicting-AC-remote

https://github.com/pasrichashivam/Convnets_Grad-CAM_Grad-CAM-PlusPlus_Keras_tensorflow-2

https://github.com/philipperemy/tensorflow-class-activation-mapping

https://github.com/phtruongan/py-faster-rcnn-docker

https://github.com/phykn/film-defect-detection

https://github.com/pj1920/mask-r-cnn

https://github.com/polospeter/TensorFlow-Advanced-Techniques-Specialization

https://github.com/princeton-nlp/CharXiv

https://github.com/pvdhove/owl-mask-rcnn

https://github.com/pytorch/vision

https://github.com/qianguih/voxelnet

https://github.com/qilei123/pyfasterrcnn

https://github.com/qq330488563/TEST

https://github.com/quocdat32461997/Mask_RCNN

https://github.com/qwenlm/qwen2-vl

https://github.com/qwenlm/qwen2.5-vl

https://github.com/rajatashhpa/1

https://github.com/raunak222/Image-Captioning

https://github.com/ravenwritingdesk/py-faster-rcnn-master

https://github.com/rayanramoul/Active-Object-Localization-Deep-Reinforcement-Learning

https://github.com/raymon-tian/hourglass-facekeypoints-detection

https://github.com/raysr/Active-Object-Localization-Deep-Reinforcement-Learning

https://github.com/rh01/fast-rnn

https://github.com/rh01/faster-rcnn

https://github.com/rhymesg/map_based_navigation

https://github.com/rickyHong/py-faster-rcnn-repl

https://github.com/rickyHong/py-faster-rcnn-repl-cudnn5-support

https://github.com/rodsom22/lwf_polyps

https://github.com/roggirg/count-ception_mbm

https://github.com/rozumden/tbd3d

https://github.com/rwightman/pytorch-image-models

https://github.com/sa4s-serc/ecomls

https://github.com/saehan-choi/pixellib_auto_labelling

https://github.com/sampl-weizmann/deepcut

https://github.com/samsh19/ML_project