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 14011410 of 10420 papers

TitleStatusHype
FusionBench: A Comprehensive Benchmark of Deep Model FusionCode3
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines0
GrootVL: Tree Topology is All You Need in State Space ModelCode2
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue SegmentationCode1
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models0
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline0
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations0
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic SurgeryCode0
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients0
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization0
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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