Papers with Code 아카이브

16k

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

6

평가표

1

보존된 평가 기록

1

코드

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

https://github.com/oshrout/GraVoS

공식 코드

GraVoS: Voxel Selection for 3D Point-Cloud Detection

https://github.com/oskyhn/DelftBikes

공식 코드

Hallucination In Object Detection -- A Study In Visual Part Verification

https://github.com/osvai/af-dcd

공식 코드

Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation

https://github.com/ouyanghaodong/deyo

공식 코드

DEYO: DETR with YOLO for End-to-End Object Detection

https://github.com/owen-liuyuxuan/visionfactory

공식 코드

Scalable Vision-Based 3D Object Detection and Monocular Depth Estimation for Autonomous Driving

https://github.com/ozheng1993/ucf-sst-citysim-dataset

공식 코드

CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins

https://github.com/ozzyou/rp-fem

공식 코드

Relational Prior Knowledge Graphs for Detection and Instance Segmentation

https://github.com/paathelb/MEDL-U

공식 코드

MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning

https://github.com/pagf188/raxo

공식 코드

Superpowering Open-Vocabulary Object Detectors for X-ray Vision

https://github.com/pallgeuer/novic

공식 코드

Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion

https://github.com/pallgeuer/object_noun_dictionary

공식 코드

Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion

https://github.com/pancakewaffles/metasrgan-tutorial

공식 코드

Arbitrary Scale Super-Resolution for Brain MRI Images

https://github.com/pandas-team/autonomous-vehicle-environment-perception

공식 코드

An intelligent modular real-time vision-based system for environment perception

https://github.com/pangsu0613/CLOCs

공식 코드

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

https://github.com/passerer/hpinet

공식 코드

From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution

https://github.com/pastifra/Continual_Nanodet

공식 코드

Latent Distillation for Continual Object Detection at the Edge

https://github.com/pastifra/TiROD_code

공식 코드

Tiny Robotics Dataset and Benchmark for Continual Object Detection

https://github.com/pathak22/unsupervised-video

공식 코드

Learning Features by Watching Objects Move

https://github.com/patrick-john-ramos/nada

공식 코드

No Annotations for Object Detection in Art through Stable Diffusion

https://github.com/pauamargant/hsr-graspsynth

공식 코드

Sim2Real Transfer for Vision-Based Grasp Verification

https://github.com/paul-shuvo/planar_pose

공식 코드

Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping

https://github.com/paulaoak/proximal-ipla

공식 코드

Proximal Interacting Particle Langevin Algorithms

https://github.com/paulnovello/hsic-attribution-method

공식 코드

Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure

https://github.com/pay246-git468/radarnext

공식 코드

RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar

https://github.com/pbonazzi/graph-scene-transformer

공식 코드

3D scene generation from scene graphs and self-attention

https://github.com/pbonazzi/retina

공식 코드

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware

https://github.com/pcasolab/vdst-net

공식 코드

Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical video

https://github.com/pealing/medet

공식 코드

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization

https://github.com/pedrormconde/uncertainty_calibration_object_detection

공식 코드

A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection

https://github.com/peixianchen/medet

공식 코드

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization

https://github.com/peiyunh/wysiwyg

공식 코드

What You See is What You Get: Exploiting Visibility for 3D Object Detection

https://github.com/pemami4911/segregate-relate-imagine

공식 코드

Towards Improving the Generation Quality of Autoregressive Slot VAEs

https://github.com/pengyu965/chartdete

공식 코드

Context-Aware Chart Element Detection

https://github.com/pengzhiliang/Conformer

공식 코드

Conformer: Local Features Coupling Global Representations for Visual Recognition

https://github.com/pengzhiliang/g2sd

공식 코드

Generic-to-Specific Distillation of Masked Autoencoders

https://github.com/pengzhiliang/lda

공식 코드

Long-tailed Distribution Adaptation

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