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Found 14 papers, 4 papers with code
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization
We achieve this by ensuring the poisoned model's loss function has a similar value as a normally trained model at each input sample but with a large local curvature.
Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning
To address these limitations, this study proposes a novel end-to-end CMFD framework that integrates the strengths of conventional and deep learning methods.
Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos
Traffic anomaly detection (TAD) in driving videos is critical for ensuring the safety of autonomous driving and advanced driver assistance systems.
Multi-scale Target-Aware Framework for Constrained Image Splicing Detection and Localization
Additionally, in order to handle scale transformations, we introduce a multi-scale projection method, which can be readily integrated into our target-aware framework that enables the attention process to be conducted between tokens containing information of varying scales.
Image Copy-Move Forgery Detection via Deep Cross-Scale PatchMatch
The recently developed deep algorithms achieve promising progress in the field of image copy-move forgery detection (CMFD).
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos
Different from previous approaches, our method can more accurately detect both ego-involved and non-ego accidents by simultaneously modeling appearance changes and object motions in video frames through the collaboration of optical flow reconstruction and future object localization tasks.
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction
Different from previous approaches, our method can more precisely model the underlying data distribution by optimizing the exact log-likelihood of motion behaviors.
Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service
By integrating the MCP module into the transformer blocks, we construct projection-based transformer blocks, and then form a symmetrical reconstruction model using these blocks and residual convolutional blocks.
Video Salient Object Detection via Adaptive Local-Global Refinement
Despite their simplicity, such fusion strategies may introduce feature redundancy, and also fail to fully exploit the relationship between multi-level features extracted from both spatial and temporal domains.
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Deep neural networks (DNNs) have been shown to be vulnerable against adversarial examples (AEs), which are maliciously designed to cause dramatic model output errors.
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision
Predicting human motion behavior in a crowd is important for many applications, ranging from the natural navigation of autonomous vehicles to intelligent security systems of video surveillance.
Ranked #15 on
Trajectory Prediction
on ETH/UCY
Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation
In this paper, to simplify the network and maintain the accuracy, we present a lightweight network tailored for video salient object detection through the spatiotemporal knowledge distillation.
Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
Deep learning (DL) has demonstrated its powerful capabilities in the field of image inpainting.
Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling
In this work, we propose an independent and piecewise identically distributed (i. p. i. d.)
