Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/sustech-isus/sustechgan

공식 코드

SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous Driving

https://github.com/suyukun666/UFO

공식 코드

A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection

https://github.com/svip-lab/AS-MLP

공식 코드

AS-MLP: An Axial Shifted MLP Architecture for Vision

https://github.com/sxjyjay/msmdfusion

공식 코드

MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection

https://github.com/synsin0/effocc

공식 코드

EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy Network

https://github.com/synsin0/srcn3d

공식 코드

SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and Tracking

https://github.com/syscv/cascade-detr

공식 코드

Cascade-DETR: Delving into High-Quality Universal Object Detection

https://github.com/syscv/lidar_snow_sim

공식 코드

LiDAR Snowfall Simulation for Robust 3D Object Detection

https://github.com/syxvision/fdnet

공식 코드

Camouflaged Object Detection with Feature Grafting and Distractor Aware

https://github.com/szq0214/DSOD

공식 코드

DSOD: Learning Deeply Supervised Object Detectors from Scratch

https://github.com/szq0214/GFR-DSOD

공식 코드

Improving Object Detection from Scratch via Gated Feature Reuse

https://github.com/szq0214/GRP-DSOD

공식 코드

Improving Object Detection from Scratch via Gated Feature Reuse

https://github.com/tahiya31/trash_track

공식 코드

Designing A Sustainable Marine Debris Clean-up Framework without Human Labels

https://github.com/tai-wang/depth-from-motion

공식 코드

MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones

https://github.com/tangshitao/quadtreeattention

공식 코드

QuadTree Attention for Vision Transformers

https://github.com/tankowa/consistencydet

공식 코드

ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency Model

https://github.com/tanveer-hussain/EfficientSOD

공식 코드

Densely Deformable Efficient Salient Object Detection Network

https://github.com/tanveer-hussain/efficientsod2

공식 코드

Pyramidal Attention for Saliency Detection

https://github.com/tanvirnwu/trifuse

공식 코드

LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond

https://github.com/taokong/FoveaBox

공식 코드

FoveaBox: Beyond Anchor-based Object Detector

https://github.com/taoyang1122/GradAug

공식 코드

GradAug: A New Regularization Method for Deep Neural Networks

https://github.com/taoyang1122/MutualNet

공식 코드

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

https://github.com/taozh2017/RGBD-SODsurvey

공식 코드

RGB-D Salient Object Detection: A Survey

https://github.com/taozh2017/fapnet

공식 코드

Feature Aggregation and Propagation Network for Camouflaged Object Detection

https://github.com/taozh2017/spnet

공식 코드

Specificity-preserving RGB-D Saliency Detection

https://github.com/tbd-clip/efficientpose

공식 코드

ePose: Let's Make EfficientPose More Generally Applicable

https://github.com/tbrouns/eyestalker

공식 코드

Robust Video-Based Eye Tracking Using Recursive Estimation of Pupil Characteristics

https://github.com/tchittesh/fovea

공식 코드

FOVEA: Foveated Image Magnification for Autonomous Navigation

https://github.com/tdchaitanya/MMTOD

공식 코드

Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery

https://github.com/tedlentsch/union

공식 코드

UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes

https://github.com/tejas-deo/safe-navigation-training-autonomous-vehicles-using-deep-reinforcement-learning-in-carla

공식 코드

Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLA

https://github.com/tencentarc/conmim

공식 코드

Masked Image Modeling with Denoising Contrast

https://github.com/tencentyouturesearch/visualrecognition-nommer

공식 코드

NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition

https://github.com/tennine2077/pdfnet

공식 코드

Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior

https://github.com/tensorflow/lingvo

공식 코드

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

https://github.com/tensorflow/models

공식 코드

MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices

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