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 541550 of 10419 papers

TitleStatusHype
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation0
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning0
Directional Label Diffusion Model for Learning from Noisy LabelsCode0
Multi-modal Vision Pre-training for Medical Image Analysis0
Towards Universal Dataset Distillation via Task-Driven Diffusion0
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning0
Saliuitl: Ensemble Salience Guided Recovery of Adversarial Patches against CNNsCode0
HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving0
LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models0
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights0
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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