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보존된 평가 기록

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코드

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

https://github.com/avc2-uestc/frequency-inspired-optimization-for-efficientsr

공식 코드

Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution

https://github.com/aveeslab/r-tod

공식 코드

R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving

https://github.com/avinres/mwirstd

공식 코드

MWIRSTD: A MWIR Small Target Detection Dataset

https://github.com/avishags422/phantomsponges

공식 코드

Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors

https://github.com/avrahamraviv/formal-verification-of-object-detection

공식 코드

Formal Verification of Deep Neural Networks for Object Detection

https://github.com/awaisrauf/borg

공식 코드

BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases

https://github.com/axin1301/satellite-imagery-dataset

공식 코드

A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities

https://github.com/axium/Blind-Image-Deconvolution-using-Deep-Generative-Priors

공식 코드

Blind Image Deconvolution using Pretrained Generative Priors

https://github.com/ayanban011/graphkd

공식 코드

GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation

https://github.com/aybora/CVPR2020-Anti-UAV-OGAM-Correction

공식 코드

Effect of Annotation Errors on Drone Detection with YOLOv3

https://github.com/aybora/Semi-Automatic-Video-Annotation-OGAM

공식 코드

Semi-Automatic Annotation For Visual Object Tracking

https://github.com/aymanbegh/benchmarking-performance

공식 코드

Benchmarking performance of object detection under image distortions in an uncontrolled environment

https://github.com/aymanbegh/cd-coco

공식 코드

CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision

https://github.com/aymanbegh/hybrid-gcnn-cnn

공식 코드

A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference

https://github.com/ayushjain1144/SeeingByMoving

공식 코드

Move to See Better: Self-Improving Embodied Object Detection

https://github.com/azadis/LDDP

공식 코드

Learning Detection with Diverse Proposals

https://github.com/azadis/SB-GAN

공식 코드

Semantic Bottleneck Scene Generation

https://github.com/azhuantou/hssda

공식 코드

Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection

https://github.com/azuma164/defense-prefix

공식 코드

Defense-Prefix for Preventing Typographic Attacks on CLIP

https://github.com/b-faye/lightmdetr

공식 코드

A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection Training

https://github.com/baaivision/eva

공식 코드

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

https://github.com/bahjat-kawar/snips_torch

공식 코드

SNIPS: Solving Noisy Inverse Problems Stochastically

https://github.com/baneitixiaomai/mirv

공식 코드

Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection

https://github.com/bardia-az/ppa-code

공식 코드

Privacy-Preserving Autoencoder for Collaborative Object Detection

https://github.com/barisbatuhan/dass_det_inference

공식 코드

Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings

https://github.com/barisbatuhan/dass_detector

공식 코드

Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings

https://github.com/barwojcik/hard_hats

공식 코드

Hard hat wearing detection based on head keypoint localization

https://github.com/bashlab/llasa

공식 코드

LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone Sensors

https://github.com/basiralab/AGSR-Net

공식 코드

Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity

https://github.com/basiralab/GSR-Net

공식 코드

GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes

https://github.com/batmanlab/ha-gan

공식 코드

Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN

https://github.com/baurst/liso

공식 코드

LISO: Lidar-only Self-Supervised 3D Object Detection

https://github.com/baxiyi/dut-useg

공식 코드

An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset

https://github.com/bbdjj/CGCOD

공식 코드

CGCOD: Class-Guided Camouflaged Object Detection

https://github.com/bbepoch/HoiTransformer

공식 코드

End-to-End Human Object Interaction Detection with HOI Transformer

https://github.com/bcmi/Awesome-Weak-Shot-Learning

공식 코드

Weak Novel Categories without Tears: A Survey on Weak-Shot Learning

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