https://github.com/mducducd/Shadow-Removal
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
Papers with Code 아카이브
Scene Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 3
- 보존된 평가 기록
- 5
Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mducducd/ghost-free-shadow-removal
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
https://github.com/mikecheninoulu/Emotional-gesture-papers
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality
https://github.com/mindee/doctr
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
https://github.com/mindspore-ai/models/tree/master/official/cv/FCN8s
https://github.com/mindspore-ai/models/tree/master/research/cv/PSPNet
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/CrissCrossAttention.py
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/HATNet.py
https://github.com/minghanz/DepthC3D
https://github.com/minimaxir/person-blocker
https://github.com/mkimhi/RISE
https://github.com/mohuazheliu/ResUnet-a
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
https://github.com/montescene/demo
https://github.com/mrmtn86/python1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/mseg-dataset/mseg-api
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
https://github.com/mystorm16/bsh-det3d
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
https://github.com/nachifur/DMTN
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
https://github.com/nalbert9/Image-Captioning
https://github.com/naver-ai/coco-annotation-tool
https://github.com/navganti/SIVO
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/navganti/SegNet
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/nchang430/BOLD5000-Scripts
https://github.com/neuropoly/multiclass-segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/nexusapoorvacus/DeepVariationStructuredRL
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection
https://github.com/nhatuan84/GFF-Gated-Fully-Fusion-for-Semantic-Segmentation
https://github.com/nigelyaoj/self-supervised-amodal-video-object-segmentation
https://github.com/nightrome/cocostuff10k
https://github.com/nihalsid/mask2former
https://github.com/nihalsid/panoptic-lifting
Panoptic Lifting for 3D Scene Understanding with Neural Fields
https://github.com/nisharaichur/SegNet-Encoder-Decoder-Architecture-for-Image-Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/nisharaichur/segNet_tensorflow
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/noahj08/DeepConnotation
https://github.com/nshaud/DeepNetsForEO
https://github.com/nutonomy/nuscenes-devkit
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
https://github.com/nzantout/sort3d
IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes
https://github.com/oandrienko/fast-semantic-segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.