Papers with Code 아카이브

3D Interacting Hand Pose Estimation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 1
평가표: 1
보존된 평가 기록: 9

코드

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

https://github.com/santiago2205/lssqps

공식 코드

Learning Semantic Segmentation with Query Points Supervision on Aerial Images

https://github.com/shreyashampali/kypt_transformer

공식 코드

Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation

https://github.com/sjtuplayer/supersvg

공식 코드

SuperSVG: Superpixel-based Scalable Vector Graphics Synthesis

https://github.com/sjyang8/DLRR

공식 코드

Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification

https://github.com/ssecv/leno

공식 코드

LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise

https://github.com/svip-lab/Indoor-SfMLearner

공식 코드

P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

https://github.com/tingliu/glia

공식 코드

Image Segmentation Using Hierarchical Merge Tree

https://github.com/torrvision/caffe-tvg

공식 코드

Higher Order Conditional Random Fields in Deep Neural Networks

https://github.com/twke18/cast

공식 코드

Learning Hierarchical Image Segmentation For Recognition and By Recognition

https://github.com/valeoai/slidr

공식 코드

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

https://github.com/velor2012/tdo-dif

공식 코드

Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion

https://github.com/yangzhangcst/afa-graph

공식 코드

Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation

https://github.com/ynapolean/ibis-cnn

공식 코드

Heart rate estimation in intense exercise videos

https://github.com/yuanqqq/sin

공식 코드

SIN:Superpixel Interpolation Network

https://github.com/zc-alexfan/digit-interacting

공식 코드

Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation

https://github.com/zhengdiyu/arbitrary-hands-3d-reconstruction

공식 코드

ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction

https://github.com/zwxu064/TransInit

공식 코드

Refining Semantic Segmentation with Superpixel by Transparent Initialization and Sparse Encoder

https://github.com/ForEcolZappers/PublicWiki

SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs

https://github.com/LeadingIndiaAI/COCO-DATASET-STUFF-SEGMENTATION-CHALLENGE

COCO-Stuff: Thing and Stuff Classes in Context

https://github.com/LudwigSchallner/limeandcnn

Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological Data

https://github.com/NVlabs/ssn_superpixels

Superpixel Sampling Networks

https://github.com/Yangzhangcst/AF-graph_all

Affinity Fusion Graph-based Framework for Natural Image Segmentation

https://github.com/aby2s/sharpmask

Learning to Segment Object Candidates

https://github.com/bknyaz/bmvc_2019

Image Classification with Hierarchical Multigraph Networks

https://github.com/cheng-01037/ssl_few_shot_med_img_seg

Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

https://github.com/davidstutz/cviu2018-superpixels

Superpixels: An Evaluation of the State-of-the-Art

https://github.com/dipaco/superpixel-skin-lesion-segmentation

Automatic skin lesion segmentation on dermoscopic images by the means of superpixel merging

https://github.com/divyanshpuri02/COCO_2018-Stuff-Segmentation-Challenge

COCO-Stuff: Thing and Stuff Classes in Context

https://github.com/facebookresearch/InterHand2.6M

InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image

https://github.com/facebookresearch/deepmask

Learning to Segment Object Candidates

https://github.com/fhalamos/semantic-segmentation-with-cnn

Feedforward semantic segmentation with zoom-out features

https://github.com/hankuipeng/DAL-HERS

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation

https://github.com/huchuanlu/15_7

Inner and Inter Label Propagation: Salient Object Detection in the Wild

https://github.com/imran3180/depth-map-prediction

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture

https://github.com/jamesliang819/clustseg

CLUSTSEG: Clustering for Universal Segmentation

https://github.com/jhqi/spgcc

Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.