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 79267950 of 10420 papers

TitleStatusHype
Data Parameters: A New Family of Parameters for Learning a Differentiable CurriculumCode0
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks0
Gaussian-Based Pooling for Convolutional Neural NetworksCode0
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration0
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing0
Addressing Failure Detection by Learning Model ConfidenceCode1
DATA: Differentiable ArchiTecture ApproximationCode0
SGAS: Sequential Greedy Architecture SearchCode0
What's Hidden in a Randomly Weighted Neural Network?Code0
Towards Oracle Knowledge Distillation with Neural Architecture Search0
Deep Object Co-segmentation via Spatial-Semantic Network ModulationCode0
Transform-Invariant Convolutional Neural Networks for Image Classification and SearchCode1
The Weighted Tsetlin Machine: Compressed Representations with Weighted ClausesCode0
A Generalization Theory based on Independent and Task-Identically Distributed Assumption0
Orthogonal Convolutional Neural NetworksCode0
Decision Propagation Networks for Image Classification0
CSPNet: A New Backbone that can Enhance Learning Capability of CNNCode1
GhostNet: More Features from Cheap OperationsCode1
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities0
Deep Learning with Gaussian Differential PrivacyCode0
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial ExamplesCode0
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information EstimatorCode0
Rigging the Lottery: Making All Tickets WinnersCode1
PlantDoc: A Dataset for Visual Plant Disease DetectionCode0
Universal Adversarial Robustness of Texture and Shape-Biased ModelsCode1
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified