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 3601–3625 of 10420 papers

TitleStatusHype
Coreset Selection for Object Detection—0
Exploring Explainability in Video Action Recognition—0
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification—0
SpectralMamba: Efficient Mamba for Hyperspectral Image Classification—0
Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example—0
A Survey of Neural Network Robustness Assessment in Image Recognition—0
Learning to Classify New Foods Incrementally Via Compressed Exemplars—0
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase SamplingCode0
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models—0
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image ClassificationCode0
Differentiable Search for Finding Optimal Quantization Strategy—0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark—0
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint EvolutionCode0
Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification—0
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach—0
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations—0
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures—0
Evolving Efficient CNN Based Model for Image Classification—0
On adversarial training and the 1 Nearest Neighbor classifierCode0
Quantum Circuit C^*-algebra Net—0
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based TrainingCode0
iVPT: Improving Task-relevant Information Sharing in Visual Prompt Tuning by Cross-layer Dynamic Connection—0
On the Convergence of Continual Learning with Adaptive Methods—0
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracyCode0
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images—0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified