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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 10419 papers

TitleStatusHype
BiomedCoOp: Learning to Prompt for Biomedical Vision-Language ModelsCode2
Multimodal Autoregressive Pre-training of Large Vision EncodersCode5
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual AttacksCode0
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model TrainingCode0
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training—0
MEGL: Multimodal Explanation-Guided Learning—0
Problem-dependent convergence bounds for randomized linear gradient compression—0
Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification—0
Invariant Shape Representation Learning For Image ClassificationCode0
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning—0
Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
Deep Feature Response Discriminative CalibrationCode0
Multi-perspective Contrastive Logit Distillation—0
MetaLA: Unified Optimal Linear Approximation to Softmax Attention MapCode1
Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image—0
Hysteresis Activation Function for Efficient InferenceCode0
Vision Eagle Attention: a new lens for advancing image classificationCode1
Evidential Federated Learning for Skin Lesion Image Classification—0
Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring PluginCode0
Outliers resistant image classification by anomaly detection—0
Adapting the Biological SSVEP Response to Artificial Neural Networks—0
On the Cost of Model-Serving Frameworks: An Experimental Evaluation—0
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering—0
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing ImageryCode0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified