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 401–425 of 10419 papers

TitleStatusHype
Simplifying DINO via Coding Rate Regularization—0
A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classificationCode1
SeWA: Selective Weight Average via Probabilistic Masking—0
Compress image to patches for Vision TransformerCode0
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification—0
Feature-based Graph Attention Networks Improve Online Continual Learning—0
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image AnalysisCode1
Evaluating the Performance of TAAF for image classification modelsCode0
Keep your distance: learning dispersed embeddings on S_m—0
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics—0
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset—0
Knowledge Swapping via Learning and UnlearningCode0
Riemannian Complex Hermit Positive Definite Convolution Network for Polarimetric SAR Image Classification—0
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image ClassificationCode2
MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI ClassificationCode1
Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers—0
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks—0
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object DetectionCode0
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks—0
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation—0
From Pixels to Components: Eigenvector Masking for Visual Representation LearningCode1
Provably Near-Optimal Federated Ensemble Distillation with Negligible OverheadCode0
From Image to Video: An Empirical Study of Diffusion Representations—0
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction UncertaintyCode1
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated LearningCode0
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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