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 54765500 of 10420 papers

TitleStatusHype
Impact of Attention on Adversarial Robustness of Image Classification Models0
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study0
Multilingual Image Corpus: Annotation Protocol0
Diverse Sample Generation: Pushing the Limit of Generative Data-free QuantizationCode1
The Impact of Reinitialization on Generalization in Convolutional Neural Networks0
Deep Generative Modeling for Protein Design0
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations0
Morphence: Moving Target Defense Against Adversarial ExamplesCode1
EG-Booster: Explanation-Guided Booster of ML Evasion AttacksCode0
Semi-supervised Image Classification with Grad-CAM ConsistencyCode1
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs0
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks0
Spike time displacement based error backpropagation in convolutional spiking neural networks0
Communication-Computation Efficient Device-Edge Co-Inference via AutoML0
Tune It or Don't Use It: Benchmarking Data-Efficient Image ClassificationCode1
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification0
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
MEDIC: A Multi-Task Learning Dataset for Disaster Image ClassificationCode1
Privacy-preserving Machine Learning for Medical Image Classification0
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark DetectionCode1
Representation Memorization for Fast Learning New Knowledge without Forgetting0
New Pruning Method Based on DenseNet Network for Image Classification0
Goal-driven text descriptions for images0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences0
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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