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 5251–5275 of 10420 papers

TitleStatusHype
HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS—0
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers—0
Inference with Hybrid Bio-hardware Neural Networks—0
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention—0
High Frequency Residual Learning for Multi-Scale Image Classification—0
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study—0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification—0
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding—0
Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey—0
Information contraction in noisy binary neural networks and its implications—0
Information Gain Sampling for Active Learning in Medical Image Classification—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
Attentive Feature Reuse for Multi Task Meta learning—0
Informative Class Activation Maps—0
Informative Robust Causal Representation for Generalizable Deep Learning—0
Exploring Optimal Deep Learning Models for Image-based Malware Variant Classification—0
Cross-Modal Mapping: Mitigating the Modality Gap for Few-Shot Image Classification—0
Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey—0
Initialization Noise in Image Gradients and Saliency Maps—0
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data—0
Initializing Perturbations in Multiple Directions for Fast Adversarial Training—0
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories—0
InPK: Infusing Prior Knowledge into Prompt for Vision-Language Models—0
Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity—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