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

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Showing 8601–8625 of 10420 papers

TitleStatusHype
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks—0
Adversarial Examples for Edge Detection: They Exist, and They Transfer—0
GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative ModelsCode0
Detecting Anomalies in Image Classification by Means of Semantic RelationshipsCode0
Compact Feature Learning for Multi-Domain Image Classification—0
Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Embedding Complementary Deep Networks for Image Classification—0
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks—0
Adapting Object Detectors via Selective Cross-Domain AlignmentCode0
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering—0
Exploration of Noise Strategies in Semi-supervised Named Entity Classification—0
Perceptual Evaluation of Adversarial Attacks for CNN-based Image ClassificationCode0
Versatile Multiple Choice Learning and Its Application to Vision Computing—0
Weakly Supervised Image Classification Through Noise Regularization—0
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification—0
Structured Knowledge Distillation for Semantic SegmentationCode0
Visual Attention Consistency Under Image Transforms for Multi-Label Image ClassificationCode0
Transferable AutoML by Model Sharing Over Grouped Datasets—0
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar PhysicsCode0
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1—0
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial RobustnessCode0
Characterizing Bias in Classifiers using Generative ModelsCode0
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification—0
Deep multi-class learning from label proportions—0
Toward Runtime-Throttleable Neural Networks—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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