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Found 7 papers, 2 papers with code
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
In this paper, we introduce a novel prompt-driven adapter into SAM, namely Prompt Adapter Segment Anything Model (PA-SAM), aiming to enhance the segmentation mask quality of the original SAM.
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
Recent approaches such as ControlNet offer users fine-grained spatial control over text-to-image (T2I) diffusion models.
Vision Backbone Enhancement via Multi-Stage Cross-Scale Attention
Convolutional neural networks (CNNs) and vision transformers (ViTs) have achieved remarkable success in various vision tasks.
SimHaze: game engine simulated data for real-world dehazing
Using a modern game engine, our approach renders crisp clean images and their precise depth maps, based on which high-quality hazy images can be synthesized for training dehazing models.
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
We develop a CNN pruning framework called SMOF, which Squeezes More Out of Filters by reducing both kernel size and the number of filter channels.
SpecNet: Spectral Domain Convolutional Neural Network
Often, these feature maps mimic natural photographs in the sense that their energy is concentrated in the spectral domain.
Video Logo Retrieval based on local Features
Estimation of the frequency and duration of logos in videos is important and challenging in the advertisement industry as a way of estimating the impact of ad purchases.
