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 11261150 of 10419 papers

TitleStatusHype
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional SpacesCode0
DeMansia: Mamba Never Forgets Any TokensCode0
A Survey and Evaluation of Adversarial Attacks for Object Detection0
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples0
LAM3D: Leveraging Attention for Monocular 3D Object Detection0
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion AutoencoderCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification0
Multi-head Spatial-Spectral Mamba for Hyperspectral Image ClassificationCode0
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image ClassificationCode0
PreMix: Addressing Label Scarcity in Whole Slide Image Classification with Pre-trained Multiple Instance Learning Aggregators0
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images0
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and ExplanationCode0
LADDER: Language Driven Slice Discovery and Error RectificationCode1
Vera Verto: Multimodal Hijacking Attack0
On Biases in a UK Biobank-based Retinal Image Classification ModelCode0
DFE-IANet: A Method for Polyp Image Classification Based on Dual-domain Feature Extraction and Interaction AttentionCode0
The Susceptibility of Example-Based Explainability Methods to Class Outliers0
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline ApproachCode0
Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning0
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification TasksCode0
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism0
Diffusion Feedback Helps CLIP See BetterCode3
Competition-based Adaptive ReLU for Deep Neural Networks0
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
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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