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 31763200 of 10420 papers

TitleStatusHype
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks0
Leveraging Superfluous Information in Contrastive Representation Learning0
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis0
HaSPeR: An Image Repository for Hand Shadow Puppet RecognitionCode0
Dataset Distillation for Histopathology Image Classification0
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing0
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification0
Learning to Explore for Stochastic Gradient MCMCCode0
Narrowing the Focus: Learned Optimizers for Pretrained Models0
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural PolarizationCode0
Flatten: Video Action Recognition is an Image Classification task0
PREMAP: A Unifying PREiMage APproximation Framework for Neural NetworksCode0
Oral squamous cell detection using deep learning0
Image Class Translation Distance: A Novel Interpretable Feature for Image Classification0
LEVIS: Large Exact Verifiable Input Spaces for Neural Networks0
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language ModelsCode0
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation0
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs0
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts0
Beyond Uniform Query Distribution: Key-Driven Grouped Query AttentionCode0
Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices0
Activation Space Selectable Kolmogorov-Arnold Networks0
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks0
Coherence Awareness in Diffractive Neural NetworksCode0
Efficient Search for Customized Activation Functions with Gradient DescentCode0
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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