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/dotori-hj/digit

공식 코드

DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer

https://github.com/dotori-hj/te-tad

공식 코드

TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression

https://github.com/douglasrizzo/JINT2020-ball-detection

공식 코드

Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios

https://github.com/dr-lingxiao/ag-man

공식 코드

Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval

https://github.com/dragonlee258079/DMT

공식 코드

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection

https://github.com/dragonlzm/EZSD

공식 코드

Efficient Feature Distillation for Zero-shot Annotation Object Detection

https://github.com/dragonlzm/ezad

공식 코드

Efficient Feature Distillation for Zero-shot Annotation Object Detection

https://github.com/dreossi/analyzeNN

공식 코드

Counterexample-Guided Data Augmentation

https://github.com/drilistbox/3dppe

공식 코드

3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers

https://github.com/drl-casia/mvm3d

공식 코드

MVM3Det: A Novel Method for Multi-view Monocular 3D Detection

https://github.com/drlxj/camdiff

공식 코드

CamDiff: Camouflage Image Augmentation via Diffusion Model

https://github.com/drowsymon/rmformer

공식 코드

Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection

https://github.com/drscotthawley/SPNet

공식 코드

ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums

https://github.com/dschinagl/occam

공식 코드

OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data

https://github.com/dsciitism/segpc-2021

공식 코드

Transformer Assisted Convolutional Network for Cell Instance Segmentation

https://github.com/dsriaditya999/rgbxfusion

공식 코드

RGB-X Object Detection via Scene-Specific Fusion Modules

https://github.com/dsshim0125/SwinDepth

공식 코드

SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network

https://github.com/dsshim0125/grmc

공식 코드

Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss

https://github.com/dsx0511/3dmotformer

공식 코드

3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking

https://github.com/duan-song/SATNet

공식 코드

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective

https://github.com/dudi709/Timing-Based-Attack

공식 코드

The Adversarial Implications of Variable-Time Inference

https://github.com/duyhominhnguyen/LVM-Med

공식 코드

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

https://github.com/duyuwen-duen/roco-sim

공식 코드

RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation

https://github.com/duzw9311/cfpt

공식 코드

Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images

https://github.com/duzw9311/lda-aqu

공식 코드

LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention

https://github.com/dvl-tum/e-osvos

공식 코드

Make One-Shot Video Object Segmentation Efficient Again

https://github.com/dvlab-research/Entity

공식 코드

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation

https://github.com/dvlab-research/Seg-Zero

공식 코드

Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

https://github.com/dvlab-research/VisionReasoner

공식 코드

VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning

https://github.com/dvlab-research/VoxelNeXt

공식 코드

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking

https://github.com/dvlab-research/deepvision3d

공식 코드

A Unified Query-based Paradigm for Point Cloud Understanding

https://github.com/dvlab-research/dsig

공식 코드

Deep Structured Instance Graph for Distilling Object Detectors

https://github.com/dvlab-research/focalsconv

공식 코드

Focal Sparse Convolutional Networks for 3D Object Detection

https://github.com/dvlab-research/largekernel3d

공식 코드

LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs

https://github.com/dvlab-research/msad

공식 코드

Multi-Scale Aligned Distillation for Low-Resolution Detection

https://github.com/dvlab-research/sphereformer

공식 코드

Spherical Transformer for LiDAR-based 3D Recognition

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