SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 27762800 of 10420 papers

TitleStatusHype
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization PathsCode0
Dynamic Perceiver for Efficient Visual RecognitionCode1
Comparative Evaluation of Recent Universal Adversarial Perturbations in Image Classification0
Masking meets Supervision: A Strong Learning AllianceCode1
Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification0
Shape Guided Gradient Voting for Domain Generalization0
RemoteCLIP: A Vision Language Foundation Model for Remote SensingCode2
RaViTT: Random Vision Transformer Tokens0
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
Scaling Open-Vocabulary Object DetectionCode0
FewSAR: A Few-shot SAR Image Classification BenchmarkCode1
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationCode2
Continual Adaptation of Vision Transformers for Federated LearningCode0
Label-noise-tolerant medical image classification via self-attention and self-supervised learning0
Enlarged Large Margin Loss for Imbalanced ClassificationCode0
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images0
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image ClassificationCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Modularity Trumps Invariance for Compositional RobustnessCode0
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
High-performance deep spiking neural networks with 0.3 spikes per neuron0
Fast and Private Inference of Deep Neural Networks by Co-designing Activation FunctionsCode1
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization ApproachCode0
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image RecognitionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified