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/git-disl/stdlens

공식 코드

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection

https://github.com/gitmehrdad/sfsort

공식 코드

SFSORT: Scene Features-based Simple Online Real-Time Tracker

https://github.com/giuliomattolin/confmix

공식 코드

ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing

https://github.com/gjj45/dams-detr

공식 코드

DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion

https://github.com/gjj45/damsdet

공식 코드

DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion

https://github.com/gkioxari/RstarCNN

공식 코드

Contextual Action Recognition with R*CNN

https://github.com/gkw0010/gtav_head-dataset

공식 코드

Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks

https://github.com/gokulkarthik/deformable-detr

공식 코드

An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers

https://github.com/gokulkarthik/detr

공식 코드

An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers

https://github.com/gokyildirim/salmon_dataset

공식 코드

Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency

https://github.com/goodarzmehr/simbev

공식 코드

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset

https://github.com/goodproj13/SG-Net

공식 코드

SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation

https://github.com/goodproj13/tf-blender

공식 코드

TF-Blender: Temporal Feature Blender for Video Object Detection

https://github.com/google-research-datasets/Objectron

공식 코드

Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations

https://github.com/google-research/augmix

공식 코드

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

https://github.com/google-research/big_vision

공식 코드

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

https://github.com/google-research/deeplab2

공식 코드

kMaX-DeepLab: k-means Mask Transformer

https://github.com/google-research/google-research

공식 코드

Stand-Alone Self-Attention in Vision Models

https://github.com/google-research/google-research/tree/master/fvlm

공식 코드

F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models

https://github.com/google-research/google-research/tree/master/fvlm/dito

공식 코드

Region-centric Image-Language Pretraining for Open-Vocabulary Detection

https://github.com/google-research/google-research/tree/master/fvlm/rovit

공식 코드

Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers

https://github.com/google-research/google-research/tree/master/muller

공식 코드

MULLER: Multilayer Laplacian Resizer for Vision

https://github.com/google-research/maxvit

공식 코드

MaxViT: Multi-Axis Vision Transformer

https://github.com/google-research/pix2seq

공식 코드

Pix2seq: A Language Modeling Framework for Object Detection

https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit

공식 코드

Simple Open-Vocabulary Object Detection with Vision Transformers

https://github.com/google-research/ssl_detection

공식 코드

A Simple Semi-Supervised Learning Framework for Object Detection

https://github.com/google-research/vision_transformer

공식 코드

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

https://github.com/google/automl

공식 코드

EfficientDet: Scalable and Efficient Object Detection

https://github.com/gorilla-lab-scut/vista

공식 코드

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention

https://github.com/gpt4vision/OvSGTR

공식 코드

Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention

https://github.com/gqding/SUDF

공식 코드

Salient object detection on hyperspectral images using features learned from unsupervised segmentation task

https://github.com/griffbr/ODMD

공식 코드

Depth from Camera Motion and Object Detection

https://github.com/griffbr/tfod

공식 코드

Mobile Robot Manipulation using Pure Object Detection

https://github.com/grigorisg9gr/polynomials-for-augmenting-nns

공식 코드

Augmenting Deep Classifiers with Polynomial Neural Networks

https://github.com/grispeut/Feature-Alignment

공식 코드

Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness in Object Detection

https://github.com/grispeut/udfa

공식 코드

Robust and Accurate Object Detection via Self-Knowledge Distillation

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