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 19762000 of 10420 papers

TitleStatusHype
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset0
Color-S^4L: Self-supervised Semi-supervised Learning with Image Colorization0
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification0
A Large-Scale Empirical Study on Improving the Fairness of Image Classification ModelsCode0
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks0
Transferable Learned Image Compression-Resistant Adversarial Perturbations0
End-to-End Anti-Backdoor Learning on Images and Time Series0
Prompt-driven Latent Domain Generalization for Medical Image ClassificationCode1
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine LearningCode0
CrisisViT: A Robust Vision Transformer for Crisis Image ClassificationCode0
Nonlinear functional regression by functional deep neural network with kernel embedding0
Object-oriented backdoor attack against image captioning0
Benchmarking PathCLIP for Pathology Image Analysis0
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes InteractivelyCode5
Improved Zero-Shot Classification by Adapting VLMs with Text DescriptionsCode1
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN TicketCode3
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment0
Lightweight Adaptive Feature De-drifting for Compressed Image Classification0
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual ClassificationCode0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training0
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control0
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity TrainingCode1
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification0
Fair-VPT: Fair Visual Prompt Tuning for Image Classification0
Transductive Zero-Shot and Few-Shot CLIPCode1
Show:102550
← PrevPage 80 of 417Next →

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