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 34013425 of 10420 papers

TitleStatusHype
Efficient and Differentiable Conformal Prediction with General Function ClassesCode0
Adaptive hybrid activation function for deep neural networksCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image ClassificationCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor SearchCode0
Improving Confident-Classifiers For Out-of-distribution DetectionCode0
AMNet: Memorability Estimation with AttentionCode0
Deep Learning for Classical Japanese LiteratureCode0
Accurate Explanation Model for Image Classifiers using Class Association EmbeddingCode0
Bad Global Minima Exist and SGD Can Reach ThemCode0
Deep Learning Development Environment in Virtual RealityCode0
On adversarial training and the 1 Nearest Neighbor classifierCode0
On Batch Adaptive Training for Deep Learning: Lower Loss and Larger Step SizeCode0
Improving Calibration by Relating Focal Loss, Temperature Scaling, and PropernessCode0
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object DetectionCode0
BadDet: Backdoor Attacks on Object DetectionCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Cell image classification: a comparative overviewCode0
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free InferenceCode0
Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)Code0
Improving Deep Neural Network Random Initialization Through Neuronal RewiringCode0
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
Improving the Gating Mechanism of Recurrent Neural NetworksCode0
Backpropagation Neural TreeCode0
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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