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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3626–3650 of 10420 papers

TitleStatusHype
Classifying neuromorphic data using a deep learning framework for image classification—0
Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm—0
Developing a Recommendation Benchmark for MLPerf Training and Inference—0
Entanglement and Tensor Networks for Supervised Image Classification—0
Entanglement Entropy of Target Functions for Image Classification and Convolutional Neural Network—0
DetNet: Design Backbone for Object Detection—0
Entrenamiento de una red neuronal para el reconocimiento de imagenes de lengua de senas capturadas con sensores de profundidad—0
Bias mitigation techniques in image classification: fair machine learning in human heritage collections—0
A Closed-Form Learned Pooling for Deep Classification Networks—0
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification—0
Entropy-Driven Mixed-Precision Quantization for Deep Network Design—0
Entropy Induced Pruning Framework for Convolutional Neural Networks—0
Class-incremental learning: survey and performance evaluation on image classification—0
2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach—0
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape—0
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection—0
Flatten: Video Action Recognition is an Image Classification task—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
Class Instance Balanced Learning for Long-Tailed Classification—0
Equivariance with Learned Canonicalization Functions—0
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning—0
Bias-Eliminating Augmentation Learning for Debiased Federated Learning—0
Equivariant Neural Tangent Kernels—0
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified