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 13111320 of 10420 papers

TitleStatusHype
Learning in Wilson-Cowan model for metapopulationCode0
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification0
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels0
Improving Quaternion Neural Networks with Quaternionic Activation Functions0
Jacobian Descent for Multi-Objective Optimization0
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction0
Reading Is Believing: Revisiting Language Bottleneck Models for Image Classification0
How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image ClassificationCode1
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection0
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation LearningCode2
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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