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Found 13 papers, 3 papers with code
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure
In contrast to previous methods, DuMo employs the Eraser with PRior Knowledge (EPR) module which modifies the skip connection features of the U-NET and primarily achieves concept erasure on details (high-frequency) components of the image.
Explaining Model Overfitting in CNNs via GMM Clustering
Convolutional Neural Networks (CNNs) have demonstrated remarkable prowess in the field of computer vision.
Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment
For solving the problem of domain-shift, we propose a HSI cross-domain object detection method based on spectral-spatial feature alignment, which is the first attempt in the object detection community to the best of our knowledge.
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
Through extensive experiments on two sequence generation tasks and with various LLMs, we demonstrate the effectiveness of our proposed PLaD framework.
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
Accurate forecasting of long-term time series has important applications for decision making and planning.
Video Summarization: Towards Entity-Aware Captions
We also release a large-scale dataset, VIEWS (VIdeo NEWS), to support research on this task.
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields
Face recognition (FR) technology plays a crucial role in various applications, but its vulnerability to adversarial attacks poses significant security concerns.
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis
Market sentiment analysis on social media content requires knowledge of both financial markets and social media jargon, which makes it a challenging task for human raters.
Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization
For example, even in the commonly adopted instructional videos, a speaker can sometimes refer to something that is not visually present in the current frame; and the semantic misalignment would only be more unpredictable for the raw videos from the internet.
A Simple and Efficient Pipeline to Build an End-to-End Spatial-Temporal Action Detector
Some existing methods build one-stage pipelines, But a large performance drop exists with the vanilla one-stage pipeline and extra classification modules are needed to achieve comparable performance.
Learning-Based Safe Motion Control of Vehicle Ski-Stunt Maneuvers
This paper presents a safety guaranteed control method for an autonomous vehicle ski-stunt maneuver, that is, a vehicle moving with two one-side wheels.
SASICM A Multi-Task Benchmark For Subtext Recognition
The F1 score of SASICMBERT, whose pretrained model is BERT, is 65. 12%, which is 0. 75% higher than that of SASICMg.
Kartta Labs: Collaborative Time Travel
We introduce the modular and scalable design of Kartta Labs, an open source, open data, and scalable system for virtually reconstructing cities from historical maps and photos.
