I need to implement an U-net for semantic segmentation task. Is it possible decrease the amount of parameters in U-Net with a reduction of image size? For example from (256,256,3) to (32,32,3). Or are there others ways?
Related Questions in IMAGE-SEGMENTATION
- Segmentation with Geotiff image
- mean Intersection over Union function to evaluate similarity of two images problem
- Resume image segmentation
- What kind of metrics should be used in medical image segmentation for early stopping to choose the model?
- How can I display nii.gz segmentation data into 3D model on website?
- OpenCV Image processing pipeline to segment a flower from a plant image
- Handling Image Size Adjustment Errors in FastSAM for Object Segmentation
- Handwritten Tigrigna Character Recognition
- Trouble with passing data from DataLoader to Learner in FluxTraining.jl for UNet model
- Novice Computer Vision Question: Identifying and Counting Overlapping Objects
- How to measure the dimensions of a segment with Coco/Segment Anything?
- How can use two different type of data (RGB and NIR images) in two different backbone in MaskRCNN architecture as an multi-modality approach?
- Detectron2 slow inference
- Segment lighter region outside a darker region
- Obstructed/Incomplete quadrilateral detection with OpenCV
Related Questions in SEMANTIC-SEGMENTATION
- Is there a way to use a specific Pytorch model image processor in C++?
- How to input multi-channel Numpy array to U-net for semantic segmentation
- Detect Finger nail and Overlay color - OpenCV, Vision, AR iOS Swift
- How many images should I label from the training set?
- Remove background of image using sobel edge detection
- DeepLabv3+ for semantic segmentation: dice loss stuck
- How to measure the dimensions of a segment with Coco/Segment Anything?
- How can i convert gis (georeferenced) multi-polygons annotation to another format?
- Flutter how to remove image background
- InvalidArgumentError: Graph execution error while running model.fit(...)
- boxes upper face pose estimation from pointcloud
- Segment lighter region outside a darker region
- Who can give me the code of SFA model(polyp segmentation)?
- Cannot find why my deeplabv3+ model shows bad performance
- DINOv2 segmentation result contains noise
Related Questions in UNET-NEURAL-NETWORK
- How to input multi-channel Numpy array to U-net for semantic segmentation
- How can I reduce the amount of GPU used by my tensorflow model?
- Keep Getting ValueError : Shapes (None, None) and (None, None, None, 1174) are incompatible when fitting UNet
- Who can give me the code of SFA model(polyp segmentation)?
- why does my U-Net segmentation model not work in Android app
- Apply grad-cam to u-net model (InvalidArgumentError: {{function_node __wrapped__Pack_N_2_device_)
- Can I do image reconstruction by combining two images using U-NET?
- UNET source separation shape incompatibility, incorrect shapes concatenating
- Using "segmentation_models_pytorch" with Unet++
- multiple images input for a CNN model
- Upsample followed by Conv2d
- Audio Source Separation U-Net NN with complex numbers incompatibility with pytorch
- What is a good way to code complex pytroch networks?
- Understanding difference between TensorFlow and PyTorch implementations of segmentation-models Unet
- Size differs by one for skip connection layers in unet, unable to concatenate due to size difference Keras
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
For a fully convolutional architecture, the number of parameters is independent of the input size: filter sizes are fixed. They do not change with image size, only the computed activation maps.
If you want to reduce the model size, you can:
out_channels) in the conv layers.Note that reducing the number of parameters (model size) does not always mean reducing the number of FLOPS required for evaluating the model. With convolutional networks, the number of ops required for evaluation heavily depends on the input size.