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 971980 of 10420 papers

TitleStatusHype
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks0
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator0
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding0
Minimizing Embedding Distortion for Robust Out-of-Distribution Performance0
Token Turing Machines are Efficient Vision ModelsCode0
Seam Carving as Feature Pooling in CNN0
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm0
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image ClassificationCode1
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values0
Replay Consolidation with Label Propagation for Continual Object Detection0
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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